5 Topic Commentaries

Computer vision could turn surgical video into actionable clinical data

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  Mary T. Hawn, MD

  General Surgery; Surgical Quality

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  Stanford University School of Medicine

  These are data we just never have had before to actually understand what's going on.

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  Gregory D. Hager, PhD

  Computer Science; Computer Vision; Surgical Data Science

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  Johns Hopkins University

  As in many other areas of human endeavor, like sports, the quality of the human performance determines the quality of the outcome that you achieve, but we don’t know a lot about, if you will, the analytics of what creates a good surgeon. Work like what Daniela is doing and our work really goes to the question of: Can we start to quantify what the process in surgery is, and then within that process, can we develop measures where we can relate human performance to the quality of care that a patient receives?

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  Christopher D. Mantyh, MD

  Surgical Oncology; Quality Improvement

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  Duke University Medical Center

  Basically, anything and everything. From the beginning to the end of the operation, everything from who’s going in the room, what instruments are used, and any events that occur, that can then be reviewed.

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  Tyler M. Berzin, MD

  Gastroenterology; Endoscopy

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  Beth Israel Deaconess Medical Center and Harvard Medical School

  Our AI computer sits between the colonoscope and the endoscopy monitor and processes the colonoscopy image. What we see on the monitor is our live colonoscopy procedure, but with blue or green alert boxes pointing out where suspected polyps may be located. It basically guides the physician’s eyes to an area where these subtle polyps are.

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  Carla M. Pugh, MD, PhD

  Surgery; Surgical Education and Technology

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  Stanford University School of Medicine

  We walk around with more detailed data about our bank accounts than how we perform clinical procedures, which are 10-times more complex.

  Source